Xiaofan Liu

Radiolucent foreign body aspiration in adults sits at soft-tissue and mucus density on CT, so it has been found only by slice-by-slice manual reading and is easily missed. AI-PACS instead learns a standard Gaussian manifold of non-FBA airway topology from 804 unlabelled CT scans, flags deviations from that manifold as anomalies, and maps them onto the S1–S10 bronchial segments. In a 35-patient human-AI subset, sensitivity rose from 18.8% for radiologists to 56.3%, and average negative-exclusion screening time fell by about 75%.

Radiolucent foreign body aspiration in adults sits at soft-tissue and mucus density on CT, so it has been found only by slice-by-slice manual reading and is easily missed. AI-PACS instead learns a standard Gaussian manifold of non-FBA airway topology from 804 unlabelled CT scans, flags deviations from that manifold as anomalies, and maps them onto the S1–S10 bronchial segments. In a 35-patient human-AI subset, sensitivity rose from 18.8% for radiologists to 56.3%, and average negative-exclusion screening time fell by about 75%.